EMEA Analytics Engineering & Data Science Lead

Restaurant Brands International

Zug

Vor Ort

CHF 180.000 - 240.000

Vollzeit

vor 45 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Restaurant Brands International (RBI) is seeking a Senior Manager, Analytics Engineering & Data Science to lead a multi-disciplinary team across EMEA. The role requires deep technical credibility in the modern data stack and AI-enabled data products, with governance, GDPR compliance, and collaboration with global teams.

You will drive data strategy, build scalable data pipelines, and shape an analytics-driven culture across markets, reporting to the Senior Director, Analytics, Insights, Data,

Qualifikationen

  • Bachelor's degree or higher in CS, data science, statistics, engineering, or related field.
  • 6–10 years in data engineering, analytics, or data science in QSR/restaurant.
  • 3+ years of direct people leadership of technical teams.
  • Experience deploying data products and cross-functional teams.
  • Fluency in English.

Aufgaben

  • Build, lead, and mentor a growing, multi-disciplinary analytics team across EMEA.
  • Own the short- and long-term data strategy and platform roadmap for EMEA.
  • Develop data products and AI-enabled capabilities with international teams.
  • Ensure GDPR compliance and data governance across regions.
  • Collaborate with global data teams to optimize pipelines and architecture.

Kenntnisse

SQL
Data warehousing
Snowflake
AWS
AI/LLM enablement
Tableau/Power BI
Airflow
dbt
Terraform
Python
R
Leadership
Stakeholder management
Cross-country collaboration

Ausbildung

Bachelor's degree or higher

Tools

Snowflake
AWS

Jobbeschreibung

Restaurant Brands International (RBI) is seeking a Senior Manager, Analytics Engineering & Data Science to lead a multi-disciplinary team across EMEA. The role requires deep technical credibility in the modern data stack and AI-enabled data products, with governance, GDPR compliance, and collaboration with global teams.

You will drive data strategy, build scalable data pipelines, and shape an analytics-driven culture across markets, reporting to the Senior Director, Analytics, Insights, Data,

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